|
1 | | -## Operations Research Models |
| 1 | +[](https://jbytecode.github.io/OperationsResearchModels.jl/dev/) |
| 2 | +[](https://joss.theoj.org/papers/0f312c63cdc147d43c2b899478461769) |
2 | 3 |
|
| 4 | +# OperationsResearchModels.jl |
3 | 5 |
|
4 | | -The OperationsResearchModels package includes basic Operations Research subjects such as Transportation Problem, Assignment Problem, Minimum Spanning Tree, Shortest Path, Maximum Flow, |
5 | | -and p-medians method for selecting location of facilities. |
| 6 | +A package for Operations Research problems. |
6 | 7 |
|
7 | | -Package content is incrementally updated. |
8 | 8 |
|
9 | | -Please refer the Algorithms section for the detailed documentation. |
| 9 | +# Installation |
| 10 | + |
| 11 | +```julia |
| 12 | +julia> ] |
| 13 | +(@v1.xx) pkg> add OperationsResearchModels |
| 14 | +``` |
| 15 | + |
| 16 | +or |
| 17 | + |
| 18 | +```julia |
| 19 | +julia> using Pkg |
| 20 | +julia> Pkg.add("OperationsResearchModels") |
| 21 | +``` |
| 22 | + |
| 23 | +If you want to install latest source that is not registered yet, you can |
| 24 | + |
| 25 | +```julia |
| 26 | +julia> ] |
| 27 | +(@1.xx) pkg> add https://github.com/jbytecode/OperationsResearchModels.jl |
| 28 | +``` |
| 29 | + |
| 30 | +but it's not recommended. |
| 31 | + |
| 32 | +# Documentation |
| 33 | + |
| 34 | +Please visit [The Documentation Page](https://jbytecode.github.io/OperationsResearchModels.jl/dev/). |
| 35 | +This page includes both the API documentation and examples. |
| 36 | + |
| 37 | + |
| 38 | +# Implemented Problems and Algorithms |
| 39 | + |
| 40 | +- [Assignment Problem](https://jbytecode.github.io/OperationsResearchModels.jl/dev/assignment/) |
| 41 | +- [Transportation Problem](https://jbytecode.github.io/OperationsResearchModels.jl/dev/transportation/) |
| 42 | +- [The Shortest Path](https://jbytecode.github.io/OperationsResearchModels.jl/dev/network/#Shortest-Path) |
| 43 | +- [Maximum Flow](https://jbytecode.github.io/OperationsResearchModels.jl/dev/network/#Maximum-Flow) |
| 44 | +- [Minimum Cost-Flow](https://jbytecode.github.io/OperationsResearchModels.jl/dev/network/#Minimum-Cost-Flow) |
| 45 | +- [Minimum Spanning Tree](https://jbytecode.github.io/OperationsResearchModels.jl/dev/network/#Minimum-Spanning-Tree) |
| 46 | +- [p-median for Location Selection](https://jbytecode.github.io/OperationsResearchModels.jl/dev/locationselection/) |
| 47 | +- [CPM - Critical Path Method](https://jbytecode.github.io/OperationsResearchModels.jl/dev/project/#CPM-(Critical-Path-Method)) |
| 48 | +- [PERT - Project Evaluation and Review Technique](https://jbytecode.github.io/OperationsResearchModels.jl/dev/project/#PERT-(Project-Evaluation-and-Review-Technique)) |
| 49 | +- [The Knapsack Problem](https://jbytecode.github.io/OperationsResearchModels.jl/dev/knapsack/) |
| 50 | +- [Johnson's Rule for Flow-Shop Scheduling](https://jbytecode.github.io/OperationsResearchModels.jl/dev/scheduling/#Johnson's-Rule-for-Flow-shop-Scheduling) |
| 51 | +- [Flow-shop Scheduling using Permutation Encoded Genetic Algorithms (using a Random Key Genetic Algorithm)](https://jbytecode.github.io/OperationsResearchModels.jl/dev/scheduling/#Genetic-Algorithm-for-the-problems-that-cannot-be-solved-with-using-Johnson's-Rule) |
| 52 | +- [Traveling Salesman with Random Key Genetic Algorithm](https://jbytecode.github.io/OperationsResearchModels.jl/dev/travelingsalesman/) |
| 53 | +- [Simplex Method with Real Valued Decision Variables](https://jbytecode.github.io/OperationsResearchModels.jl/dev/simplex/) |
| 54 | +- [2-player zero-sum game solver](https://jbytecode.github.io/OperationsResearchModels.jl/dev/game/) |
| 55 | + |
| 56 | + |
| 57 | +# How to contribute |
| 58 | + |
| 59 | +Please read the page [Contributing](https://github.com/jbytecode/OperationsResearchModels.jl/blob/main/CONTRIBUTING.md) before contributing. |
| 60 | + |
| 61 | +# Notes for the users |
| 62 | + |
| 63 | +The package is implemented for mostly academic purposes. The implementations are not optimized for large-scale problems. The users are encouraged to use the package for educational purposes and small-scale problems. |
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